Nonlinear regression modeling for engineering applications : modeling, model validation, and enabling design of experiments / R. Russell Rhinehart.

Includes bibliographical references and index.

Part I. Introduction --
Part II. Preparation for underlying skills --
Part III. Regression, validation, design --
Part IV. Case studies and data --
Appendices.

Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization.